New fulfilment channels create risk because they change the normal signals a merchant uses to judge trust. When orders are picked up in store or at the curb, fraud teams must account for different handoff patterns, more complex fulfilment paths, and higher order volume. That combination can make good orders easier to slow and suspicious orders easier to miss.
Why fulfilment channel changes matter to fraud teams
New fulfilment channels change the fraud problem because they alter the signals a merchant can rely on. Card-not-present checks, delivery address verification, and shipment tracking do less work when the order is collected in person, handed off at the curb, or split across multiple steps. That creates more room for both false negatives and unnecessary friction.
The issue is not just that the channel is new. The fraud model changes because the merchant’s confidence now depends on a different mix of order behaviour, pickup behaviour, employee interaction, timing, and exception handling. A channel that looks convenient to the customer can therefore be harder to score consistently than a standard shipped order.
One practical consequence is that fraud operations often have to tune decisions around the channel itself, not just the customer account. The same account history may look low risk in one fulfilment path and ambiguous in another, especially when stores, apps, and fulfilment systems do not share the same level of visibility.
Why curbside and pickup create abuse opportunities
Curbside pickup and similar models create abuse risk because they reduce the number of verification points between checkout and possession. If the order is legitimate, that is a convenience gain. If the order is fraudulent or abusive, the shorter path can make it easier to exploit weak pickup controls, ambiguous handoff rules, or staff pressure to complete the transaction quickly.
These channels also create operational edge cases that abuse actors can exploit. For example, high-volume periods can make manual checks inconsistent, while store teams may prioritise speed over inspection. FinCEN is relevant here because merchants operating these channels often face related fraud and account abuse patterns that can surface in suspicious transaction reporting and broader abuse monitoring.
The merchant is also exposed to consumer abuse, not only payment fraud. That can include chargeback abuse, pickup disputes, order manipulation, and attempts to claim goods through weak identity or pickup validation. The channel changes the trust boundary, so fraud teams have to decide what evidence is strong enough to release goods and what conditions should trigger manual review.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OC-01 — Organisational Context | Fulfilment-channel abuse reflects changing business context and trust boundaries. |
| PR.AC-03 — Identity and Access Management | Pickup and handoff controls depend on verifying who is authorised to receive goods. | |
| DE.CM-08 — Monitoring for Anomalous Activity | Fraud teams need monitoring for unusual pickup patterns, timing, and handoff behaviour. | |
| Recommendation — Document pickup and curbside fulfilment as a distinct trust-boundary in fraud governance. Require stronger pickup authorisation checks before release of high-risk orders. Monitor pickup anomalies and escalate orders with unusual fulfilment behaviour. | ||
| CIS Controls v8 | 17.4 — Manage and Track Personal Identity and Access Credentials | Channel abuse often exploits weak account and authorisation checks at pickup time. |
| Recommendation — Tie fulfilment release to auditable identity checks and exception logging. | ||
Practitioner Guidance
What to prioritise: Focus first on the handoff step. If the fraud control fails there, upstream card and account checks may not matter because the goods still leave the merchant’s control. The highest-value signals are usually pickup authorisation, pickup timing, location consistency, and whether the order pattern matches the stated fulfilment method.
What to verify: Make sure your fraud policy distinguishes between order risk and fulfilment risk. A good online order can still be unsafe to release at curbside if the pickup flow is easy to impersonate, replay, or socially engineer. Validate that store staff know when they can release an order, when they must ask for escalation, and what evidence should be retained for disputes.
Common mistake: Treating new fulfilment channels as a simple extension of standard ecommerce fraud rules. That approach usually underestimates the loss of delivery-based signals and the variability introduced by store operations. The better model is to tune controls to the specific handoff mechanics and to expect more exceptions during rollout and peak demand.
Practitioner takeaway: The control objective is not to make pickup frictionless, it is to make the final handoff sufficiently trustworthy that convenience does not become an easy fraud path.
Related resources from NHI Mgmt Group
- Why do voice authentication and biometric systems create new fraud risk in digital channels?
- Why does the metaverse create new identity fraud risk for consumer and business interactions?
- Why does curbside pickup create more fraud review risk than standard delivery orders?
- Why do marketplace accounts create a higher fraud risk than ordinary consumer logins?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 19, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
